Earth dam site selection using the analytic hierarchy process (AHP): a case study in the west of Iran

Minatour, Yasser; Khazaei, Jahangir; Mohmmad, Ataei

doi:10.1007/s12517-012-0602-x

Cited by 61 publications

(30 citation statements)

References 23 publications

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“…The proposed SSS platform with its semi-automated algorithm can support a fast screening process for site selection and also guide more detailed measurements in the field if that is required. Constructing check dams serves a valuable purpose by reducing water velocity (i.e., increasing lag time), thereby improving water conservation, and also assists in soil restoration through preventing soil material being washed away and trapping them behind the dam structure [78]. As a consequence, the lives of residents and the environment in the vicinity of check dams can be improved [38].…”

Section: Suitable Sites For Check Dams In the Study Areamentioning

confidence: 99%

GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors

et al. 2019

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Check dams are widely used watershed management measures for reducing flood peak discharge and sediment transport, and increasing lag time and groundwater recharge throughout the world. However, identifying the best suitable sites for check dams within the stream networks of various watersheds remains challenging. This study aimed to develop an open-source software with user-friendly interface for screening the stream network possibilities and identifying and guiding the selection of suitable sites for check dams within watersheds. In this developed site selection software (SSS), multi-criteria decision analysis (MCDA) was integrated into geographic information systems (GIS), which allowed for numerous spatial data of the multiple criteria to be relatively simply and visually processed. Different geomorphometric and topo-hydrological factors were considered and accounted for to enhance the SSS identification of the best locations for check dams. The factors included topographic wetness index (TWI), terrain ruggedness index (TRI), topographic position index (TPI), sediment transport index (STI), stream power index (SPI), slope, drainage density (DD), and stream order (SO). The site identification performance of the SSS was assessed using the receiver operating characteristic (ROC) curve method, with results for the case study example of the Poldokhtar watershed in Iran showing excellent performance and identifying 327 potential sites for efficient check dam construction in this watershed. The SSS tool is not site-specific but is rather general, adaptive, and comprehensive, such that it can and should be further applied and tested across different watersheds and parts of the world.

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Section: Suitable Sites For Check Dams In the Study Areamentioning

confidence: 99%

GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors

et al. 2019

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“…The results showed that the fuzzy TOPSIS approach provided different rankings of the best sites for TWW compared to a traditional MCDM technique, highlighting the need for fuzzy-based MCDM. In 2012, a study was conducted by Minatour et al in the western part of Iran using the AHP technique to help choose an appropriate location for an earth dam [45]. In this study, nine categories of criteria and eleven sub criteria were considered based on their ranked importance for locating the earth dam site.…”

Section: Introductionmentioning

confidence: 99%

“…According to the criteria in the dam site selection, using the experiences and opinions of experts, and existing information and data, four feasible alternatives were proposed and prioritized using the AHP technique. The most optimal site was selected and then approved by the experts involved in the project [45]. In another study, Sengül et al (2014) developed a model using the Fuzzy TOPSIS method to rank renewable energy supply systems in Turkey [36].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran

et al. 2018

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The application of multiple criteria decision-making (MCDM) techniques in real-life problems has increased in recent years. The need to build advanced decision models with higher capabilities that can support decision-making in a broad spectrum of applications, promotes the integration of MCDM techniques with applicable systems, including artificial intelligence, and Geographic Information Systems (GIS). The Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are among the most widely adopted MCDM techniques capable of resolving water resources challenges. A critical problem associated with water resource management is dam site selection. This paper presents a comparative analysis of TOPSIS and AHP in the context of decision-making using GIS for dam site selection. The comparison was made based on geographic and water quality criteria. The geographical criteria are geology, land use, sediment, erosion, slope, groundwater, and discharge. The water quality criteria include Soluble Sodium Percentage, Total Dissolved Solid, Potential of Hydrogen, and Electrical Conductivity of water. A ratio estimation procedure was used to determine the weights of these criteria. Both methods were applied for selection of optimal sites for dams in the Sistan and Baluchestan province, Iran. The results show that the TOPSIS method is better suited to the problem of dam site selection for this study area. Actual locations of dams constructed in the area were used to verify the results of both methods.

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“…In another study, Lawson [24] suggested the selection of a suitable site for an aquaculture venture. Another interesting research on site selection was also contributed by Yasser, et al [17]. Moreover, a new addition to the field of site selection has been made by Elhadary, et al [21], by introducing the rough set classification and attribute reduction method to landfill site selection.…”

Section: Literature Reviewmentioning

confidence: 99%

Site selection for food distribution using rough set approach and TOPSIS method

Khan

Anwar

Bashir

et al. 2015

IFS

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Abstract. Suitable site selection for a specific purpose is a crucial activity, and of the greatest importance to a project manager. Several methods have been proposed by the research community for effective site selection, but all proposed methods incur high costs. This study explores the combination of a rough set theory approach (RSTA) with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for suitable site selection for food distribution. This method provides a set of rules to determine different sites, which ultimately can help management develop strategies for suitable site selection. A set of rules for suitable site selection are derived from information related to a practical case, Pakistan Red Crescent Society (PRCS), to demonstrate the prediction ability of RSTA. The results clearly demonstrate that the RSTA model can be a valuable tool for site identification. Rough set theory also assists management in making appropriate decisions based on their objectives while avoiding unnecessary costs. However, while RSTA provides rules to determine the best sites for food distribution, it does not pinpoint the best sites for food distribution. To be more precise and accurate, this work is extended to another multi-criteria decision-making technique solution: the TOPSIS method. By using this method, this study provides the best top priority site for food distribution of PRCS.

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Earth dam site selection using the analytic hierarchy process (AHP): a case study in the west of Iran

Cited by 61 publications

References 23 publications

GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors

GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors

A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran

Site selection for food distribution using rough set approach and TOPSIS method

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